A common way for lower bounding the expansion of a graph is by looking the second smallest eigenvalue of its Laplacian matrix. Also known as the easy direction of Cheeger's inequality, this bound becomes too weak when the expansion is . In 2004, Arora, Rao and Vazirani proved the existence of "expander flows", which are certificates of graph expansion up to a factor of . In this talk, I will describe a generalization of these for small set, "small set expander (SSE) flows", and I will describe an application of such flows for finding near optimal sparse cuts on graphs with certain isoperimetric profiles. This is joint work with Sanjeev Arora and Rong Ge.